Error Message Improver

• Outcome: Pass
• Latest audit: Jul 24, 2026 · 6:23 PM UTC
• Version: 0.1.0

Overview

This is a documentation-only skill for improving error messages, with no executable code or hidden data access, though its auto-invocation wording is broader than ideal.

Installers should understand that the skill is safe in the sense that it is only instructional content, but its broad triggers may make it appear during unrelated debugging or support conversations. Prefer explicit use with error-message rewriting, troubleshooting copy, or support-message clarity tasks.

SkillSpector

By NVIDIA

Vulnerability Patterns

• Trigger Abuse: Overly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
• Prompt Injection: Instruction Override, Hidden Instructions, Exfiltration Commands
• Data Exfiltration: External Transmission, Env Variable Harvesting, File System Enumeration
• Privilege Escalation: Excessive Permissions, Sudo/Root Execution, Credential Access
• Supply Chain: Unpinned Dependencies, External Script Fetching, Obfuscated Code

Findings (14)

Vague Triggers

Medium

• Confidence: 88% confidence
• Finding: The trigger sentence is written as a very generic natural-language request, which increases the chance that the skill is invoked unintentionally during ordinary conversation. In an agent ecosystem, over-broad activation can route unrelated user input into this skill, causing confusion, incorrect task handling, or interference with higher-priority skills.

Vague Triggers

Medium

• Confidence: 84% confidence
• Finding: The invocation guidance does not clearly define when the skill should and should not be used, leaving the trigger scope ambiguous. This can cause the orchestration layer or users to invoke the skill outside its intended context, degrading reliability and potentially leading to incorrect workflow selection.

Vague Triggers

Medium

• Confidence: 92% confidence
• Finding: The trigger phrase and keyword set are broad enough to match many ordinary support, debugging, and productivity requests, which can cause the skill to activate outside a narrowly intended scope. Over-broad activation increases the chance of prompt-routing mistakes, unnecessary invocation, and context interference from a skill that may reshape the user's request when it was not appropriate.

Vague Triggers

Medium

• Confidence: 95% confidence
• Finding: The activation examples do not define clear boundaries and instead invite activation for a very wide class of user needs tied to vague operational language. In a skill-routing system, this can lead to accidental or excessive invocation, reducing predictability and potentially causing the skill to influence tasks unrelated to error-message improvement.

Vague Triggers

High

• Confidence: 96% confidence
• Finding: The skill description uses broad terms like 'work-productivity,' 'debugging,' 'support,' and 'implementation support,' which can match many unrelated user requests and cause unintended skill activation. Over-broad routing increases the chance that this skill is selected outside its intended scope, leading to prompt hijacking of task selection, irrelevant guidance, or displacement of a more appropriate skill.

Vague Triggers

High

• Confidence: 97% confidence
• Finding: The trigger keyword list consists of generic terms such as 'debugging,' 'support,' and 'troubleshooting' without qualifiers, making accidental or excessive activation likely. In agent systems, generic trigger vocabularies can hijack broad classes of requests and route them into a skill that was not designed for them, reducing reliability and potentially bypassing safer or more specialized workflows.

Vague Triggers

Medium

• Confidence: 92% confidence
• Finding: The example trigger sentences use vague everyday phrasing like 'Help me' and 'I need a practical workflow,' which can match normal user language with minimal connection to error-message improvement. This makes the skill easier to invoke unintentionally and reinforces overly permissive routing behavior established elsewhere in the file.

Vague Triggers

Medium

• Confidence: 89% confidence
• Finding: The trigger keywords are very broad and overlap with common support and debugging language, so the skill may activate in many ordinary conversations where it was not specifically intended. Over-broad activation can route users into this skill unexpectedly, causing prompt/context hijacking at the orchestration layer, irrelevant instructions, or interference with more appropriate skills.

Vague Triggers

Medium

• Confidence: 93% confidence
• Finding: The description defines a very wide activation scope with unclear boundaries, covering broad categories like productivity, debugging, support, and user feedback. In a multi-skill environment, ambiguous scope increases the chance of accidental invocation, unintended data exposure to the skill context, and disruption of task routing.

Vague Triggers

Low

• Confidence: 84% confidence
• Finding: The example trigger phrases start with highly generic request patterns such as 'Help me' and 'I need a practical workflow,' which are common across many unrelated tasks. These examples can bias trigger matching toward false activations, reducing reliability and making it easier for unrelated prompts to invoke the skill unintentionally.

Vague Triggers

Medium

• Confidence: 91% confidence
• Finding: The default prompt uses a very broad, natural-language invocation phrase that overlaps with common user requests about productivity, debugging, support, and feedback. This increases the chance of unintended routing or silent activation in unrelated conversations, which can cause the wrong skill to handle user input and potentially expose data or degrade system behavior.

Vague Triggers

Medium

• Confidence: 95% confidence
• Finding: Implicit invocation is enabled without any visible constraints on when the skill should or should not activate. In a skill with such broad described usage, this makes accidental or inappropriate invocation substantially more likely, which can lead to prompt-routing confusion, unexpected behavior, and unnecessary exposure of user context to the skill.

Vague Triggers

High

• Confidence: 94% confidence
• Finding: The trigger sentence is phrased so broadly that it can match ordinary user requests about help, workflows, or support without a clear requirement to invoke this specific skill. In an agent system that auto-selects skills from natural language, this increases the chance of unintended activation, causing the wrong workflow to run, irrelevant artifacts to be produced, or downstream actions to be taken under incorrect assumptions.

Vague Triggers

Medium

• Confidence: 89% confidence
• Finding: The invocation examples use ambiguous, template-like wording that does not clearly separate when the skill should be selected from when a normal conversational response would suffice. This weak trigger boundary can cause over-selection of the skill in benign conversations, reducing reliability and potentially routing sensitive troubleshooting contexts through an unintended workflow.

VirusTotal

63/63 vendors flagged this skill as clean.

Static analysis

No suspicious patterns detected.